Accounts Receivable Executive

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Mumbai, Maharashtra, IND
In-Office
Artificial Intelligence • Big Data • Machine Learning
The Role

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role – Accounts Receivable Executive

Job Location – Mumbai

YOE  - 2-4 years experience in Accounts receivable function

Skills - Experience in spreadsheets; Ability to automate repetitive tasks

Responsibilities:

  • Review customer contracts for respective segment deals and create customer contracts in ERP.

  • Maintain contract rates for T&M projects, various revenue and billing schedules in ERP .

  • Handle invoicing / billing for various T&M, monthly fixed billing and Fixed price milestone based contracts.

  • Keep a track of unbilled revenues and work closely with Segment Delivery teams, PMO and Business Finance SPOCs for invoicing.

  • Review invoices for accuracy in terms of contract terms, taxation etc. and ensure correct cash application for collections.

  • Keep a track of accounts receivable and follow up with the customers and project teams to ensure on time collections.

  • Prepare various AR / UR ageing and DSO reports, short term collection forecast etc.

  • Maintain customer master in ERP.

  • Support in statutory audits, due diligences, internal audits, RFP process etc.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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